Genetics of obsessive-compulsive disorder and Tourette disorder

Genetics of obsessive-compulsive disorder and Tourette disorder

Chapter 20 Genetics of obsessive-compulsive disorder and Tourette disorder Christie L. Burtona, Csaba Bartab, Danielle Cathc,d, Daniel Gellere, Odile...

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Chapter 20

Genetics of obsessive-compulsive disorder and Tourette disorder Christie L. Burtona, Csaba Bartab, Danielle Cathc,d, Daniel Gellere, Odile A. van den Heuvelf, Yin Yaog, (Obsessive Compulsive Disorder and Tourette Syndrome Working Group of the Psychiatric Genomics Consortium), Valsamma unblattj,k,l,* and Gwyneth Zaim,n,* Eapenh,i,*, Edna Gr€ a

Neurosciences & Mental Health, Hospital for Sick Children, Toronto, ON, Canada, b Institute of Medical Chemistry, Molecular Biology and

Pathobiochemistry, Semmelweis University, Budapest, Hungary, c Department of Psychiatry, Groningen University and University Medical Center Groningen, Groningen, The Netherlands, d Department of Specialist Training, Drenthe Mental Health Institution, Assen, The Netherlands, e Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, f Amsterdam University Medical Centers, Department of Psychiatry and Department of Anatomy & Neuroscience, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands, g Lab of Statistical Genomics and Data Analysis, Intramural Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States, h Department of Psychiatry, University of New South Wales, Sydney, NSW, Australia, i Academic Unit of Child Psychiatry South West Sydney, Ingham Institute and Liverpool Hospital, Sydney, NSW, Australia, j Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland, k Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland, l Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland, m Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada, n

Department of Psychiatry, University of Toronto, Toronto, ON, Canada

1 Introduction Obsessive-compulsive disorder (OCD) and Tourette disorder (TD) are chronic and debilitating neuropsychiatric disorders, affecting 1%–3% (Ruscio, Stein, Chiu, & Kessler, 2010) and 0.5%–1% (Robertson, 2015; Scharf et al., 2015) of the general population, respectively. OCD is characterized by obsessions (irrational, unwanted, and intrusive thoughts, images, or urges that generate distress) and/or compulsions (repetitive rituals to alleviate distress caused by the obsessions; American Psychiatric Association, 2013). Individuals with TD have one or more vocal or motor tics that began before age 18, and were present for more than 1 year (American Psychiatric Association, 2013; Bertelsen et al., 2014). A higher rate of comorbid OCD and TD has previously been well-documented (Hirschtritt et al., 2015; Peterson, Pine, Cohen, & Brook, 2001) and these disorders also share genetic susceptibility (Davis et al., 2013; Grados et al., 2008; Mathews & Grados, 2011; McGrath et al., 2014). This chapter discusses the genetics of OCD and TD.

1.1 Heritability and familiality of OCD and TD Family and twin studies clearly demonstrate a genetic component for both OCD and TD. First-degree relatives of individuals affected by TD are 10–100 times more likely to have TD than the general population (O’Rourke, Scharf, Yu, & Pauls, 2009). The largest clinical twin study for TD included 30 monozygotic and 13 dizygotic twins (Price, Kidd, Cohen, Pauls, & Leckman, 1985). The concordance of monozygotic twins with TD or chronic tics was 77%, but the concordance of dizygotic twins for TD or chronic tics was only 23%, suggesting a dominant genetic component in TD (O’Rourke et al., 2009). Two recent twin studies in tics and TD found heritability rates between 0.25 and 0.77, depending on phenotypic definitions (Mataix-Cols et al., 2015; Zilhao et al., 2017). Heritability estimates for OCD from twin studies are somewhat lower (.30–.65), depending on age and sex of the sample (van Grootheest, Cath, Beekman, & Boomsma, 2005; Van Grootheest, Cath, Beekman, & Boomsma, 2007). TD and OCD are also highly comorbid. Fifty percent of individuals with TD exhibit obsessive-compulsive behaviors (Albin & Mink, 2006), and conversely, about 20% of individuals * These senior authors contributed equally. Personalized Psychiatry. https://doi.org/10.1016/B978-0-12-813176-3.00020-1 Copyright © 2020 Elsevier Inc. All rights reserved.

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with OCD show tics (de Vries et al., 2016). Additionally, a family study reported that obsessive-compulsive symptoms (OCS) were significantly correlated in sibling pairs concordant for TD (Leckman et al., 2003). Twin studies indicate that tics and OCD may share some genetic liabilities, with genetic correlations between 0.37 and 0.58 (Guo et al., 2012; Zilhao, Smit, Boomsma, & Cath, 2016). Similarly, genome-wide association studies (GWAS) data in large clinical samples of TD and OCD indicate some shared but also distinct genetic architectures for OCD and TD, revealing a genetic correlation of 0.41, and a heritability point estimate of 0.37 and 0.58, respectively, for OCD and TD (Davis et al., 2013). A recent study from the Brainstorm consortium reported a higher genetic correlation between OCD and TD (0.7) using LD score regression (Antilla et al., 2016). Although highly correlated, each disorder had distinct correlations with other psychiatric disorders. For example, OCD was highly genetically correlated with anorexia nervosa, bipolar disorder, and schizophrenia, while TD was highly correlated with attention-deficit/hyperactivity disorder (ADHD).

1.2 Candidate gene studies in OCD and TD In the past two decades, many hypothesis-based association studies have been conducted, searching for an association between the serotonergic, glutamatergic, dopaminergic, and other systems with OCD and TD (see a selection in Table 1). The serotonergic system has been the most widely studied system in OCD because selective serotonin reuptake inhibitors (SSRIs) are the primary pharmacological OCD treatment (Bandelow et al., 2016; Davis et al., 2013; Murphy et al., 2013). Furthermore, glutamate abnormalities have been implicated in the etiology of OCD, specifically in the cortico-striato-thalamo-cortical (CSTC) circuits (Pauls, Abramovitch, Rauch, & Geller, 2014). Last, the role of the dopaminergic system in OCD has come from the effects of antipsychotics as adjunct agents to antidepressants (Pauls et al., 2014). Animal, neuroimaging, and neurochemical studies also implicate dopaminergic dysfunction in the pathophysiology of OCD (Koo, Kim, Roh, & Kim, 2010). Similarly, these systems were investigated in TD, as the glutamate receptor, ionotropic N-methyl D-aspartate (NMDA) 2B gene (GRIN2B), known to be expressed in the hippocampus, basal ganglia, and cerebral cortex, codes for subunit 2 of the NMDA receptor as well as acts as a binding site for glutamate, thus it is involved in excitatory neurotransmission (Schito et al., 1997).

1.3 Genome-wide association studies in OCD and TD With four studies to date, OCD GWAS is still in its early days. The first GWAS was conducted by the International Obsessive-Compulsive Disorder Foundation (IOCDF) Genetics Collaborative (Stewart, Yu, et al., 2013), including 1,465 OCD patients with mixed age of onset, 5,557 controls, and 400 trios. In the trio analysis, a SNP near the BTB domain containing 3 (BTBD3) reached genome-wide significance (P ¼ 3.84  108), while intronic SNPs within the DLG associated protein 1 (DLGAP1), a gene previously associated with OCD, approached genome-wide significance in the case-control analysis. No genome-wide SNPs were identified in the combined trio-case/control analysis, but the top SNPs were enriched for frontal lobe and methylation expression quantitative trait loci (eQTLs). The second GWAS was conducted by the OCD Collaborative Genetics Association Study (OCGAS) consortium on a sample of 5,061 individuals, including 1,065 families (with 1,406 childhood-onset OCD patients) and unrelated populationbased controls (Mattheisen et al., 2015). A locus near the protein tyrosine phosphatase receptor type D (PTPRD) approached significance, while markers with next-smallest P-value were near cadherin genes, CDH9 and CDH10. TABLE 1 Summary of some candidate gene studies in OCD and TD

System Serotonergic

Risk allele

Gene (SNPS/ polymorphism)

OCD

TD

SLC6A4 (5HTTLPR, rs25531)

LA allele (Brem, Grunblatt, Drechsler, Riederer, & Walitza, 2014; Taylor, 2013, 2016; Walitza et al., 2014)

LA allele (Moya et al., 2013)

HTR2A (rs6311; rs6313)

A allele (Taylor, 2016; Walitza et al., 2012)



MAOA

Trend, mostly in males (Brem et al., 2014; Di Nocera, Colazingari, Trabalza, Mamazza, & Bevilacqua, 2014; Liu, Yin, Wang, Zhang, & Ma,

Trend (Diaz-Anzaldua et al., 2004; Gade et al., 1998)

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TABLE 1 Summary of some candidate gene studies in OCD and TD—cont’d

System

Gene (SNPS/ polymorphism)

Risk allele OCD

TD

2013; Mas et al., 2014; Sampaio et al., 2015; Taylor, 2013; Walitza et al., 2004)

Glutamatergic

Dopaminergic

Others

TPH1; TPH2

Trend (Brem et al., 2014; Di Nocera et al., 2014; Liu et al., 2013; Mas et al., 2014; Sampaio et al., 2015; Taylor, 2013; Walitza et al., 2004)

Trend (Comings et al., 1996; Dehning et al., 2010; Mossner, Muller-Vahl, Doring, & Stuhrmann, 2007)

HTR1B; HTR2C

Trend (Brem et al., 2014; Di Nocera et al., 2014; Liu et al., 2013; Mas et al., 2014; Sampaio et al., 2015; Taylor, 2013; Walitza et al., 2004)

Trend (Comings et al., 1996; Dehning et al., 2010; Mossner et al., 2007)

TDO2



Trend (Comings et al., 1996; Dehning et al., 2010; Mossner et al., 2007)

SLC1A1 (rs301443, rs12682897, rs378041)

Trend, particularly gender specific (Dickel et al., 2006; Stewart, Fagerness, et al., 2007; Stewart, Mayerfeld, et al., 2013; Taylor, 2013)



GRIN2B

Trend (Qin et al., 2016)

Trend (Che et al., 2015)

ADORA1; ADORA2A



Trend (Ciruela et al., 2006; Hettinger, Lee, Linden, & Rosin, 2001; Janik, Berdynski, Safranow, & Zekanowski, 2015)

COMT (rs4680)

Trend, particularly gender specific (Melo-Felippe et al., 2016; Taylor, 2013, 2016)



DRD2, ANKK1 (rs1800497)

Symmetry associated (Lochner et al., 2016), while no association with OCD (Taylor, 2013)

Risk allele (Yuan et al., 2015)

DRD4

No association with OCD (Taylor, 2013)

Trend (Asghari et al., 1995; DiazAnzaldua et al., 2004; Grice et al., 1996; Liu et al., 2014)

SLC6A3 (DAT1)

No association with OCD (Taylor, 2013)

Trend (Comings et al., 1996; DiazAnzaldua et al., 2004; Tarnok et al., 2007; Yoon et al., 2007)

BDNF

Inconsistent (Taylor, 2013; Zai et al., 2015)



MOG, OLIG2

Trend (Stewart, Platko, et al., 2007; Zai et al., 2004)



SLITRK1-5

Trend (Ozomaro et al., 2013; Song et al., 2017)

Trend (Abelson et al., 2005)

HDC



Trend (Ercan-Sencicek et al., 2010; Karagiannidis et al., 2013; Lei et al., 2012)

NRXN1

Trend (Noh et al., 2017)

Trend (Sundaram, Huq, Wilson, & Chugani, 2010)

BTBD9



Trend (Guo et al., 2012; Riviere et al., 2009)

Abbreviation: ADORA1, ADORA2A, adenosine receptor A1 or A2A; ANKK1, ankyrin repeat and kinase domain containing 1; BDNF, brain-derived neurotrophic factor; COMT, catechol-O-methyltransferase; DRD2, dopamine D2 receptor; DRD4, dopamine D4 receptor; GRIN2B, ionotropic N-methyl Daspartate (NMDA) 2B receptor; HDC, histidine decarboxylase; HTR1B, serotonin 1D-beta receptor; HTR2A, serotonin 2A receptor; HTR2C, serotonin 2C receptor; MAOA, monoamine oxidase A; MOG, myelin-oligodendrocyte glycoprotein; NRXN1, neurexin 1; OLIG2, oligodendrocyte lineage transcription factor 2; SLC1A1, glutamate transporter; SLC6A3, DAT1, dopamine transporter; SLC6A4, serotonin transporter; SLITRK1, SLIT and NTRK like family member 1; TDO2, tryptophan 2,3-dioxygenase; TPH1 & 2, tryptophan hydroxylase.

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Recently, the two previous GWAS were meta-analyzed with a total sample of 2,688 Caucasian OCD patients and 7,037 genomically matched controls (International Obsessive Compulsive Disorder Foundation Genetics Collaborative (IOCDFGC) and OCD Collaborative Genetics Association Studies (OCGAS), 2017). Although no markers were genome-wide significant, the SNPs with the lowest P-values tagged haplotype blocks close to, or in, cancer susceptibility 8 (CASC8/ CASC11), glutamate ionotropic receptor delta type subunit 2 (GRID2), and KIT proto-oncogene receptor tyrosine kinase (KIT). The top markers were also near or within genes identified in previous genome-wide studies: Ankyrin repeat and SOCS box containing 13 (ASB13), GRIK2, CHD20, DLGAP1, fas apoptotic inhibitory molecule 2 (FAIM2), PTPRD, and R-spondin 4 (RSPO4). Larger samples should lead to genome-wide hits, as this sample was underpowered. Finally, GWAS of OCS and traits in community, rather than clinic, samples have identified genome-wide variants. A GWAS of OCS with 6,931 participants from the Netherlands Twin Registry (NTR) study identified a genome-wide significant marker (rs8100480) in the BLOC-1 related complex subunit 8 (BORCS8 or MEF2BNB) gene and four significant genes in the myocyte enhancer factor 2B (MEF2B) family (den Braber et al., 2016). Polygenic risk based on the IOCDF GWAS significantly predicted OCS, suggesting that OCS may be a useful subclinical phenotype in gene discovery for OCD. A GWAS of obsessive-compulsive traits in a sample of Caucasian children and adolescents from the community (n ¼ 4,945) identified genome-wide significant markers in NPAS2 and PTPRD, a gene identified a previous OCD GWAS study. A hypothesis-driven GWAS demonstrated that SNPs linked to central nervous system (CNS) development, but not glutamate, were associated with obsessive-compulsive traits (Burton et al., 2015). In TD, there are no genome-wide significant loci to date from the two published GWAS studies, likely because of lack of power. The first in 2012 by the Tourette Syndrome Association International Consortium for Genetics (TSAICG) included 1,285 cases and 4,964 ancestry-matched controls (Scharf et al., 2013). The top signal was an SNP located in the collagen type XXVII alpha 1 chain (COL27A1) gene (P ¼ 1.85  106). A replication study with the top 42 SNPs of the original GWAS was performed with a sample of 609 cases and 610 controls. The top signal in the meta-analysis was at rs2060546 (P ¼ 5.8  107), in proximity of the netrin 4 (NTN4) gene on chromosome 12q22, which codes for netrin 4, an axon guidance protein expressed in the developing striatum. Many of the previous findings (26 out of 42) showed a similar trend underlining the reliability of the GWAS hits as true risk factors for TD (Paschou et al., 2014).

1.4 Copy number variation in OCD and TD To date, few copy number variation (CNV) studies have focused on OCD associations. One recent study of 307 unrelated OCD patients (including 174 cases from complete trios) and 3,681 population controls (Gazzellone et al., 2016) reported the rate of de novo CNVs in OCD was lower than other neurodevelopmental disorders (2.3%). OCD patients had CNVs in genes previously associated with OCD and TD in candidate and GWAS studies, such as PTPRD and BTBD9 (Guo et al., 2012; Mattheisen et al., 2015; Riviere et al., 2009). CNVs identified in OCD patients were also enriched in several brain relevant gene-sets, including targets of fragile X mental retardation protein, neuronal migration, and synapse formation (Gazzellone et al., 2016). A recent publication in 121 early-onset pediatric OCD patients and 124 controls, including another 820 in-house healthy controls and 1,038 Affymetrix controls screened for rare small CNVs, reported a significantly higher frequency of rare small CNVs affecting brain-related genes in the OCD patients (Grunblatt et al., 2017). Enrichment analysis of CNVs gene content confirmed the involvement of genes in synaptic and brain-related functional pathways in OCD patients that was not observed in controls. Two patients demonstrated de novo CNVs encompassing genes previously associated with neurodevelopmental disorders (NRXN1, ANKS1B, UHRF1BP1). In a pilot genome-wide study screening for CNVs in 16 adults with early-onset OCD and 12 controls, a rare small deletion encompassing FMN1 gene (Chr. 15q13.3), which was paternally inherited, was detected in a male OCD patient (Cappi et al., 2014). The FMN1 gene is known to be involved in the glutamatergic pathway, which supports the hypothesis of the involvement of this system in OCD. Another study performed a cross-disorder genome-wide CNV analysis in OCD and TD using a case-control design (2,699 cases; n ¼ 1,613 with OCD and n ¼ 1,086 with TD, n ¼ 1,789 controls) (McGrath et al., 2014). A 3.3-fold increase of large deletions was observed among OCD/TD cases compared with controls. Most deletions were located in the 16p13.11 locus, which has been linked to other neurodevelopmental disorders. Evidence was weaker in TD than in OCD cases (McGrath et al., 2014). In 188 TD cases, intronic deletions in the inner mitochondrial membrane peptidase subunit 2 (IMMP2L) gene were identified significantly more frequently than in the study and reference controls (Affymetrix) cohort (Bertelsen et al., 2014). SNP-based heritability indicates that rare variants including CNVs (minor allele frequency of < 1%) account for more variance, and thus play a bigger role, in TD than OCD (Davis et al., 2013).

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In a case-control study of 460 individuals with TD, including 148 parent-child trios and 1,131 controls, TD cases were not enriched for de novo or transmitted rare CNVs. Pathway analysis showed enrichment of genes within histamine receptor (subtypes 1 and 2) signaling pathways, and several brain-related pathways (e.g., nervous system development, and synaptic structure and function). Several CNVs overlapped with genes previously identified in autism spectrum disorders. TD cases also had three de novo CNVs that were likely to be pathogenic, one of which disrupted multiple GABA receptor genes (Fernandez et al., 2012). A GWAS of CNVs in TD using a Latin American sample (210 cases and 285 controls) showed that large CNVs were increased among cases compared with controls (Nag et al., 2013). Of the 24 large CNVs in the cases, four duplications and two deletions were located in the collagen type VII alpha 1 chain (COL8A1) and NRXN1 gene regions—both genes have been implicated in other neurodevelopmental disorders, including autism. Two out of three NRXN1 deletions in the TD cases were de novo mutations. A recent study of rare CNVs used SNP microarray data from the TSAICG GWAS sample (Scharf et al., 2013), with a total of 2,434 TD cases and 4,093 ancestry-matched controls, reported an enrichment of global CNV burden that was prominent for large (>1 Mb), singleton events, and known, pathogenic CNVs (Huang et al., 2017). Two individual, genomewide significant loci were also identified, each conferring a substantial increase in TD risk (NRXN1 deletions, OR ¼ 20.3; contactin 6 [CNTN6] duplications, OR ¼ 10.1).

1.5 Whole exome sequencing in OCD and TD Only one study has examined 20 sporadic OCD cases and their unaffected parents using whole exome sequencing (WES), and it detected a high rate of de novo single-nucleotide variants (SNVs; Cappi et al., 2016). Additionally, nearly all de novo SNVs were in genes expressed in the human brain, and were enriched in immunological, CNS functioning and development using a Degree-Aware Disease Gene Prioritization to rank the protein-protein interaction network genes. A recent study using WES was completed in 325 TD trios from the TIC Genetics cohort and a replication sample of 186 trios from the TSA International Consortium on Genetics (n ¼ 511 total; Willsey et al., 2017). Robust evidence indicated the contribution of de novo likely gene-disrupting variants to TD. Additionally, de novo damaging variants were overrepresented in probands (RR 1.37, P ¼ 0.003) with these variants in approximately 400 genes contributing risk in 12% of clinical cases.

1.6 Pharmacogenetics of antidepressants in OCD and TD Pharmacogenetics has become increasingly important in the treatment of psychiatric disorders. Interindividual genetic variation may partly determine drug response and tolerability. (i) Pharmacokinetic Factors Pharmacokinetics (PK) refers to the body’s handling of medication, including gastrointestinal absorption, relative and absolute extracellular water volume (distribution), liver metabolism, renal clearance, protein binding, fat solubility, and active transport into the brain. PK parameters such as drug half-life (T1/2), time to maximum concentration (Tmax), as well as peak serum concentrations (Cmax) of medication are highly variable and individualized. Both PK and pharmacodynamic parameters change with age, which may lead to differences in clinical response, and adverse effect profiles in children vs adults (Geller, 1991; Murry, Crom, Reddick, Bhargava, & Evans, 1995; Vitiello & Jensen, 1995). Our understanding of genetic markers regulating oxidative hepatic pathways for drug metabolism has increased considerably in the past decade (Mrazek, 2010). Cytochromes P450 (CYP450) are a large family of proteins extensively involved in drug metabolism. Many drugs are not only substrates for these enzymes, but may also inhibit or induce enzyme activity. Polymorphisms in genes coding for CYP450 can lead to altered metabolism, with consequent influences on serum PK parameters, clinical response, and adverse events (Elliott et al., 2017). In psychiatric pharmacogenomics, genes coding for CYP450 enzymes that metabolize SSRIs are the most salient. CYP1A2, 2B6, 2C19, 2C9, 3A4, and 2D6 may all be important in drug metabolism in OCD treatment (see Table 2 for details). Only CYP2D6 and CYP2C19 have been studied in OCD using small sample sizes (Brandl et al., 2014; Muller et al., 2012; Van Nieuwerburgh, Denys, Westenberg, & Deforce, 2009). For venlafaxine, CYP2D6 nonextensive metabolism was associated with higher number of antidepressant trials (48% vs 22% with 4 trials; P ¼ 0.007), and with greater side effects (P ¼ 0.022; Brandl et al., 2014).

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TABLE 2 CYP-450 enzymes responsible for serotonergic medication metabolism. CYP 1A2

CYP 2B6

CYP 2C19

CYP 2C9

CYP 3A4

CYP 2D6

+

+

Citalopram Clomipramine

+

Desvenlafaxine

+

+

Escitalopram

+

+

Fluoxetine

+

Duloxetine

Fluvoxamine

+

+

+

+

+ +

+

+

Venlafaxine

+

+

+

+

+

+

Vilazodone Vortioxetine

+ +

Paroxetine Sertraline

+

+

Levomilnacipran Mirtazapine

+

+ +

+

+

+ +

+

+

+

Some drugs have more than one metabolic enzymatic pathway, and inhibition of one enzyme can lead to unpredictable PK parameters utilizing alternate pathways. Many medications also inhibit CYP-450 enzymes. Autoinhibition produces nonlinear pharmacokinetics, as the drug is both an inhibitor and substrate for an enzyme.

(ii) Pharmacodynamic Factors Psychotropic medications have various pharmacodynamic mechanisms of action in which neurotransmitter systems, including serotonin, glutamate, and dopamine are involved. These interacting systems have been implicated in both antiobsessive drug response and adverse effects in OCD (Zai, Brandl, Muller, Richter, & Kennedy, 2014). Serotonergic candidate genes previously examined in OCD include SLC6A4 as well as its promoter (HTTLPR), HTR2A, HTR2C, HTR1B, and TPH. Only one study (Corregiari, Bernik, Cordeiro, & Vallada, 2012) reported a significant finding between HTR2A rs6305 and nonresponders. Real, Gratacos, and Alonso (2010) and Zhang et al. (2015) both examined the glutamatergic gene SLC1A1 in relation to prospective SSRI response. They reported a significant association with rs301434 and SSRI nonresponse, and between rs301430 and fluoxetine response. Five studies investigating the dopaminergic DRD2, DRD4, COMT, and MAOA, have been conducted, but no associations were detected (Miguita, Cordeiro, Shavitt, Miguel, & Vallada, 2011; Umehara et al., 2015; Viswanath et al., 2013; Vulink et al., 2012; L. Zhang et al., 2004), except for COMT rs4680 Met/Met genotype with citalopram response (Vulink et al., 2012). Limited pharmacogenetic candidate studies examining other genes have revealed inconsistent findings (Zai et al., 2014). The first pharmacogenetic GWAS of OCD (Qin et al., 2016) in 804 OCD cases detected a significant association between antidepressant response and DISP1 rs17162912 (P ¼ 1.76 108). Further research is needed to clarify these genes’ potential roles in OCD pharmacogenetics. No study to date has investigated the pharmacogenetics of TD.

1.7 Imaging genetics of OCD and TD Imaging genetics aims to provide insight into genetic influences on brain structure and function. Only very recently, large multinational initiatives started to investigate imaging genetics with large sample sizes (e.g., ENIGMA, IMAGEN, ADNI, CHARGE) (Bearden & Thompson, 2017; Bogdan et al., 2017; Medland, Jahanshad, Neale, & Thompson, 2014; Thompson et al., 2014). No imaging genetics studies exist for TD, while few imaging genetics publications exist in OCD, mostly using candidate genes (Arnold, Macmaster, Hanna, et al., 2009; Arnold, Macmaster, Richter, et al., 2009; Atmaca et al., 2010, 2011; Gasso et al., 2015; Hesse et al., 2011; Honda et al., 2017; Mas et al., 2016; Ortiz et al., 2016; Scherk et al., 2009; Wolf et al., 2014; Wu et al., 2013). The main genetic pathways investigated in OCD are the serotonergic, glutamatergic, and

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dopaminergic systems (Grunblatt, Hauser, & Walitza, 2014). For the serotonin system, the orbitofrontal cortex (OFC) and the raphe nuclei are associated with the 5-HTTLPR gene variant (Grunblatt et al., 2014). Further, gray matter volumes in the right frontal pole showed a trend of being reduced in 5-HTTLPR gene LA allele carriers with OCD compared with controls (Honda et al., 2017). For the glutamatergic system, the CSTC loops, the OFC, the thalamus, and the ACC were associated with several gene variations in glutamatergic genes (see Honda et al., 2017 for review). Increased concentrations of choline measured by proton magnetic resonance spectroscopy (1H MRS) in ACC of OCD patients were associated with SNPs in the glutamate receptor AMPA1 (GRIA1) (Ortiz et al., 2016). Mean diffusivity (MD) in the right anterior and posterior cerebellar lobes was associated with SLC1A1 rs3087879 in OCD patients (Gasso et al., 2015). The few studies on dopaminergic markers and imaging correlates reported a positive association between the dopamine transporter gene (SLC6A3) and the metabolism of N-acetylaspartate in the putamen (Grunblatt et al., 2014), as well as MD of the white matter in right anterior and posterior cerebellar lobes measured by MRS (Gasso et al., 2015). The complex, heterogeneous OCD phenotype is likely to be influenced by a plethora of common SNPs and multiple genetic biological pathways (Guo et al., 2012; Yu et al., 2015). Therefore, current efforts are focused on the combination of polygenic risk scores with neuroimaging, particularly in large consortia, such as the Enhancing NeuroImaging and Genetics through Meta-Analysis (ENIGMA) consortium, to overcome power issues (Bearden & Thompson, 2017). Recently, this group reported volume asymmetry between pediatric 501 OCD cases and 439 controls in the thalamus and pallidum (Kong et al., 2019). No group differences were observed in the 1,777 adults with OCD and 1,654 controls. Furthermore, pathway enrichment analysis (Mattingsdal et al., 2013), multivariate parallel independent component analysis (Meda et al., 2012), clustering analysis, weight voxel coactivation network analysis, principal component analysis (Nymberg, Jia, Ruggeri, & Schumann, 2013), machine learning (Mas et al., 2016) and other techniques (Bearden & Thompson, 2017; Bogdan et al., 2017) are being developed for diagnostic and course prediction purposes. These techniques hold great promise for the future investigation of genetic and neuronal factors underlying OCD and TD.

1.8 Epigenetics of OCD and TD The few studies conducted to date suggest some role of epigenetic alterations in the development of OCD. In a genomewide DNA methylation analysis of blood cells from 65 OCD patients and 96 healthy controls, several differentially methylated genes were identified, including previously implicated candidate genes for OCD (e.g., BCYRN1, BCOR, FGF13, HLA-DRB1, ARX, etc.) (Yue et al., 2016). These results were not replicated in a smaller study that analyzed only 14 candidate genes (Nissen et al., 2016). OCD patients also showed more DNA methylation than controls in exons of the oxytocin receptor (OXTR) using peripheral blood leukocytes in one study (Cappi et al., 2016). In a study combining methylation alterations of an amplicon at the beginning of the first intron of SLC6A4 gene concomitantly with mRNA levels in peripheral samples, pediatric OCD patients had hypermethylated levels of the amplicon compared with age-matched controls, and to adults with OCD (Grunblatt et al., 2018); however, no changes in transcription were observed. Further, in a study examining the effects of allelic variation on mRNA expression in OCD, Jaffe et al. (2014) explored genes that were differentially expressed in OCD patients using eQTLs analysis of postmortem human brain tissue involving the dorsolateral prefrontal cortex. While this study identified significant effects of genetic variation on gene expression and differentially expressed genes linked to the broad diagnosis of OCD, no clinically significant SNP-expression pairs were found. Future studies involving larger samples are indicated to elucidate the molecular mechanisms involved. The first of three association studies on DNA methylation in TD found differences in methylation in TD patients and controls in a region on chromosome 8, recently identified by genome-wide screens and mapping mutations in single families (Sanchez Delgado et al., 2014). This region includes potassium two-pore domain channel subfamily K member 9 (KCNK9) as well as trafficking protein particle complex 9 (TRAPPC9) genes. The Epigenome-Wide Association Study on tic phenotype in 1,678 controls and tic-positive individuals from the NTR (Zilhao et al., 2015) found no genome-wide significant methylation (top hits, e.g., GABBRI, BLM, and ADAM10). In the last study, TD patients demonstrated hypermethylation in the promoter and first exon of DRD2, which increased with tic severity. Few studies have assessed the role of microRNA-mediated regulation of gene expression in TD. The first identified a nucleotide variant (var321) in the SLITRK1 30 UTR, putatively leading to its stronger binding, thus with more effective repression by miR-189 (Abelson et al., 2005). However, the role of this variant in TD pathogenesis is questionable due to its very low frequency in patients (Keen-Kim & Freimer, 2006). A recent pilot study profiled the expression of 754 miRNAs in the sera of six TD patients and three unaffected controls (Rizzo et al., 2015). miR-429, involved in midbrain and hindbrain differentiation as well as synaptic transmission, was significantly underexpressed in TD patients. If this finding is replicated, measurement of circulating miR-429 could be a useful molecular biomarker to augment TD diagnosis.

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1.9 Gene × environment of OCD and TD Heritability estimates of OCD and TD indicate that specific environmental factors that increase risk and interact with genetic vulnerability are at least as important as genes to the etiology of these disorders. A population-based study of environmental risk factors for TD (Brander et al., 2017) and OCD (Brander, Perez-Vigil, Larsson, & Mataix-Cols, 2016) found that impaired fetal growth, preterm birth, breech presentation, cesarean section, and maternal smoking during pregnancy were associated with the development of both TD and OCD (Brander, Rydell, et al., 2016, 2017). The study also identified a dose-response relationship between the environmental exposures and the development of both disorders. Maternal smoking and low birth weight had previously been implicated in the development of TD (Chao, Hu, & Pringsheim, 2014). Group A streptococcal infections as a risk-modifier for TD and OCD have not been conclusively demonstrated to date (Brander, Perez-Vigil, et al., 2016; Hoekstra, Dietrich, Edwards, Elamin, & Martino, 2013). A recent systematic review acknowledged the possibility that environmental factors may only increase risk in genetically susceptible individuals (Brander, Perez-Vigil, et al., 2016).

2

Conclusion and future perspective

OCD and TD are polygenic disorders that are clinically and genetically heterogeneous, with common (in OCD) and rare (in TD) inherited or de novo risk variants, in addition to nongenetic factors, playing a substantial role in the etiology of both of these disorders (Pauls et al., 2014; Robertson et al., 2017). Elucidating the genetic underpinnings of these complex conditions has been a major challenge, and will require the combination of clinical research, genomics, gene-by-environment, and epigenomics. To date, no clinically relevant genetic markers can explain the genetic etiology of OCD and TD. Candidate gene studies have become less of a focus in psychiatric genetics, given the advancement in genomic technology and biostatistical modeling techniques to handle large dataset including GWAS, sequencing, neuroimaging, and epigenomic studies. Therefore, future directions should focus on expanding sample size and the collection of clinically meaningful data with whole genome analysis that may improve the current perspectives of these genetically complex disorders. Once we are able to identify multiple regions of interest within the whole genome analysis, fine mapping these regions with the combination of clinical, neuroimaging, epigenomics, transcriptomics, and proteomics data will ultimately refine our understanding of the functionality and role of these genetic variations in the underlying etiology of OCD and TD. To develop targeted treatments for OCD and TD, we will need to 1) dissect the genetic, epigenetic, and environmental factors on neuronal development and circuitry formation, as well as 2) understand the shared and unique pathogenesis of these two conditions.

Acknowledgments The authors would like to sincerely thank Drs. Paul D. Arnold, James A. Knowles, Carol A. Mathews, Gerald Nestadt, and Jeremiah M. Scharf for their contribution in the final editing of this chapter. We would also like to thank the Obsessive Compulsive Disorder and Tourette Syndrome Working Group of the Psychiatric Genomics Consortium for their ongoing support.

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